Optimal bandwidth selection for the fuzzy regression discontinuity estimator

Yoichi Arai, Hidehiko Ichimura

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A new bandwidth selection method for the fuzzy regression discontinuity estimator is proposed. The method chooses two bandwidths simultaneously, one for each side of the cut-off point by using a criterion based on the estimated asymptotic mean square error taking into account a second-order bias term. A simulation study demonstrates the usefulness of the proposed method.

Original languageEnglish
Pages (from-to)103-106
Number of pages4
JournalEconomics Letters
Volume141
DOIs
Publication statusPublished - 2016 Apr 1
Externally publishedYes

Keywords

  • Bandwidth selection
  • Fuzzy regression discontinuity design
  • Local linear regression

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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